Least squares support vector machines

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Least squares support vector machines

Least squares support vector machines

Johan A K Suykens, Tony Van Gestel, Jos De Brabanter, Bart De Moor, Joos Vandewalle

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Focuses on Least Squares Support Vector Machines (LS-SVMs) which are reformulations to standard SVMs. Authors explain the natural links between LS-SVM classifiers and kernel Fisher discriminant analysis.

سب زمرہ:

Computers - Computer Science

سال:

2002

ناشر کتب:

World Scientific

زبان:

english

صفحات:

156

ISBN 10:

9812776656

ISBN 13:

9789812776655

فائل:

DJVU, 3.19 MB

IPFS:

,

english, 2002

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میں تبدیلی جاری ہے۔

میں تبدیلی ناکام ہو گئی۔

آپ کو دلچسپی ہوسکتی ہے

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Suykens J.A.K., Horvath G., Basu S., Micchelli C., Vandewalle J. (eds.) — Advances in Learning Theory. Methods, Models and Applications

Abu-Mostafa Y.S., Magdon-Ismail M., Lin H — Supplementary materials for Learning from data

Mangasarian O.L. — Data Mining via Support Vector Machines

Suykens J. — A short Introduction to Support Vector Machines and Kernelbased Learning

Guyon Isabelle — Feature Extraction Foundations and Applications. Pattern Recognition

— Handbook of Neural Network Signal Processing

Léon Bottou, Olivier Chapelle, Dennis DeCoste, Jason Weston — Large-Scale Kernel Machines

Smola A.J., et al. (eds.) — Advances in large margin classifiers

Gustavo Camps-Valls, Professor Lorenzo Bruzzone — Kernel Methods for Remote Sensing Data Analysis

Hsieh W.W. — Machine Learning Methods in the Environmental Sciences

Ali H. Sayed — Inference and Learning from Data: Volume 3: Learning

S. Y. Kung — Kernel Methods and Machine Learning

Johan Suykens, G. Horvath, S. Basu (eds.) — Advances in learning theory : methods, models and applications : proceedings of the NATO Advanced Study Institute

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Yizeng Liang; et al — Support vector machines and their application in chemistry and biotechnology

Petros Xanthopoulos; Panos M Pardalos; Theodore B Trafalis; et al — Robust data mining

Ke-Lin Du, M. N. S. Swamy — Neural Networks and Statistical Learning

Du Ke-Lin, Swamy M.N.S — Neural networks and statistical learning

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Yaser S. Abu-Mostafa, Malik Magdon-Ismail, Hsuan-Tien Lin — Learning from Data

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Shigeo Abe (auth.) — Support vector machines for pattern classification

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Johan A K Suykens, Tony Van Gestel, Jos De Brabanter, Bart De Moor, Joos Vandewalle — Least squares support vector machines

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